{"id":15976,"date":"2022-01-20T08:44:08","date_gmt":"2022-01-20T13:44:08","guid":{"rendered":"https:\/\/engineering.jhu.edu\/magazine-archive\/?p=15976"},"modified":"2022-01-20T16:07:19","modified_gmt":"2022-01-20T21:07:19","slug":"using-ai-in-new-ways","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/magazine-archive\/2022\/01\/using-ai-in-new-ways\/","title":{"rendered":"Using AI in New Ways"},"content":{"rendered":"
\"Aaron
Aaron Baughman with his two daughters<\/figcaption><\/figure>\n

During the Wimbledon championships, tennis takes place on 18 courts, while most fans watch one match at a time and then view preselected highlights later to catch up. To deliver highlights faster and more effectively, Wimbledon turned to Aaron Baughman\u2019s team at IBM, which developed AI Highlights. This new technology automatically processes live-streaming videos of tennis, relying on indicators such as crowd noise, commentator tone, and player gesture to measure excitement and then select video segments to highlight.<\/p>\n

As a Master Inventor and distinguished engineer at IBM, Baughman, MS \u201907, creates AI-based experiences such as this for the U.S. Open, the Masters Tournament, ESPN fantasy football, the Grammy Awards, and others \u2014 work that, in turn, has led to some extraordinary real-life experiences.<\/p>\n

\u201cI\u2019ve been able to go into the ESPN studios and meet celebrities such as Matthew Berry, Sage Steele, and Baron Davis,\u201d he says. He has also competed directly against NFL football players such as Eli Manning in celebrity fantasy football leagues.<\/p>\n

After completing his bachelor\u2019s degree in computer science at Georgia Tech, Baughman worked for U.S. classified government agencies on biometrics (face, iris, and fingerprint) while completing a master\u2019s degree in computer science<\/a> at Johns Hopkins. He was able to craft his own curriculum and include courses in applied biomedical engineering<\/a>. \u201cThe cross-disciplinary aspect of the Johns Hopkins education is very unique,\u201d he says.<\/p>\n

In 2011, he began working on the Jeopardy!<\/em> (Watson) project at IBM. The question\/answering computing system was initially developed by IBM to win at Jeopardy!<\/em>, but the broader aim was to build technology that could find answers from unstructured data more effectively than standard search technology. \u201cI joined right after the show and was able to contribute a lot to the machine-learning part of the project,\u201d he says.<\/p>\n

Baughman joined the sports entertainment events group at IBM in 2013. With the pandemic, his team has been challenged in new ways to generate interest and excitement for sporting and entertainment events. For the first-ever virtual Grammys in March 2021, they created a series of structured debates, with Grammy Debates with IBM Watson. Baughman worked with the IBM Research Lab in Haifa, Israel, to create a music business application for Project Debater. Throughout Grammy night, thousands of fans used this platform to express their opinions on a variety of debatable statements, such as \u201cBillie Eilish is the biggest style icon in music.\u201d<\/p>\n

Baughman holds 241 U.S. patents and is ranked as the 226th most prolific living and deceased inventor in the world. Looking to the future, he says: \u201cFrom an AI-based experience perspective, I\u2019m always interested in how users can interface and use computing in new ways. I hope that we\u2019ll be able to use some of my inventions to accelerate a sustainable method of living.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

As a Master Inventor and distinguished engineer at IBM, Aaron Baughman, MS \u201907, has created AI-based experiences for the U.S. Open, the Masters Tournament, ESPN fantasy football, the Grammy Awards, and others \u2014 work that, in turn, has led to some extraordinary real-life experiences.<\/p>\n","protected":false},"author":4,"featured_media":15981,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[26],"tags":[],"class_list":["post-15976","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-alumni","issue-winter-2022"],"acf":[],"yoast_head":"\nUsing AI in New Ways - JHU Engineering Magazine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2022\/01\/using-ai-in-new-ways\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using AI in New Ways - 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